Jun Pan

2.1k total citations · 1 hit paper
62 papers, 1.5k citations indexed

About

Jun Pan is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jun Pan has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Oncology and 13 papers in Immunology. Recurrent topics in Jun Pan's work include RNA Interference and Gene Delivery (4 papers), Inflammatory mediators and NSAID effects (4 papers) and Cancer-related molecular mechanisms research (4 papers). Jun Pan is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Inflammatory mediators and NSAID effects (4 papers) and Cancer-related molecular mechanisms research (4 papers). Jun Pan collaborates with scholars based in China, United States and Australia. Jun Pan's co-authors include Jian Huang, Leyi Zhang, Chenghui Yang, Weiyue Lu, Hui Y. Lan, Jianghua Chen, Hong Jiang, Yu-Cheng Wang, Ka‐Fai To and Hongfeng Huang and has published in prestigious journals such as Advanced Functional Materials, Journal of Controlled Release and Journal of the American Society of Nephrology.

In The Last Decade

Jun Pan

61 papers receiving 1.4k citations

Hit Papers

Macrophage-to-Myofibroblast Transition Contributes to Int... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Pan China 19 530 388 274 205 192 62 1.5k
Elena Codrici Romania 18 402 0.8× 209 0.5× 192 0.7× 127 0.6× 146 0.8× 38 1.4k
Amir Mehdizadeh Iran 29 968 1.8× 501 1.3× 152 0.6× 241 1.2× 150 0.8× 132 2.4k
G Ghigliotti Italy 26 474 0.9× 242 0.6× 364 1.3× 228 1.1× 292 1.5× 63 1.9k
Jiaxin Li China 22 651 1.2× 331 0.9× 208 0.8× 69 0.3× 161 0.8× 96 1.6k
Xiaoyan Zhou China 29 1.1k 2.1× 200 0.5× 209 0.8× 267 1.3× 262 1.4× 120 2.5k
Jordi Pétriz Spain 23 695 1.3× 335 0.9× 307 1.1× 247 1.2× 130 0.7× 85 1.7k
Huan Li China 21 615 1.2× 269 0.7× 196 0.7× 150 0.7× 115 0.6× 86 1.5k
Ileana Mânduțeanu Romania 26 465 0.9× 438 1.1× 195 0.7× 201 1.0× 157 0.8× 60 1.5k

Countries citing papers authored by Jun Pan

Since Specialization
Citations

This map shows the geographic impact of Jun Pan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Pan more than expected).

Fields of papers citing papers by Jun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Pan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Pan. The network helps show where Jun Pan may publish in the future.

Co-authorship network of co-authors of Jun Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Pan. A scholar is included among the top collaborators of Jun Pan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Pan. Jun Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hu, Xiaoxiao, Fang Jia, Xia Li, et al.. (2025). Single-Cell and Single-Nuclei transcriptomics profiling reveals dynamic cellular features in tumor-related adipose microenvironment of breast cancer patients with high BMI. Translational Oncology. 57. 102408–102408. 1 indexed citations
2.
Xu, Chunyan, Rui Wang, Qing Tang, et al.. (2024). Treating human cancer by targeting EZH2. Genes & Diseases. 12(3). 101313–101313. 6 indexed citations
3.
Pan, Jun, Meijun Wang, Jingjing Yang, et al.. (2024). Chronic Stress‐Induced and Tumor Derived SP1+ Exosomes Polarizing IL‐1β+ Neutrophils to Increase Lung Metastasis of Breast Cancer. Advanced Science. 12(4). e2310266–e2310266. 13 indexed citations
4.
Dong, Shuai, et al.. (2024). Immediate Ansa cervicalis-to-recurrent laryngeal nerve low-tension anastomosis: A new technique for phonation recovery and bilateral anastomoses to avoid tracheotomy. American Journal of Otolaryngology. 45(5). 104358–104358. 2 indexed citations
6.
Pan, Jun, Leyi Zhang, Xiaomei Wang, et al.. (2023). Chronic stress induces pulmonary epithelial cells to produce acetylcholine that remodels lung pre-metastatic niche of breast cancer by enhancing NETosis. Journal of Experimental & Clinical Cancer Research. 42(1). 255–255. 32 indexed citations
7.
Chen, Linghui, Liang Chen, Jun Pan, et al.. (2023). Sternomastoid intermuscular approach has better postoperative cosmesis and less neck discomfort than linea alba cervicalis approach in hemithyroidectomy: a randomized clinical trial. International Journal of Surgery. 109(9). 2672–2679. 1 indexed citations
8.
Zhou, Huaji, Bing Wang, Jun Pan, et al.. (2023). Percutaneous snare-retrieval of intracardiac thrombus under fluoroscopic and transesophageal echocardiography guidance: case report and systematic review. Frontiers in Cardiovascular Medicine. 10. 1127131–1127131. 1 indexed citations
9.
Pan, Jun, et al.. (2022). A narrative review of current therapies in unilateral recurrent laryngeal nerve injury caused by thyroid surgery. Gland Surgery. 11(1). 270–278. 9 indexed citations
10.
Yang, Chenghui, Zhen Wang, Lili Li, et al.. (2021). Aged neutrophils form mitochondria-dependent vital NETs to promote breast cancer lung metastasis. Journal for ImmunoTherapy of Cancer. 9(10). e002875–e002875. 118 indexed citations
11.
Chen, Wuzhen, Lesang Shen, Jingxin Jiang, et al.. (2021). Antiangiogenic therapy reverses the immunosuppressive breast cancer microenvironment. Biomarker Research. 9(1). 59–59. 44 indexed citations
12.
Hu, Guoming, Pu Cheng, Jun Pan, et al.. (2020). An IL6–Adenosine Positive Feedback Loop between CD73+ γδTregs and CAFs Promotes Tumor Progression in Human Breast Cancer. Cancer Immunology Research. 8(10). 1273–1286. 50 indexed citations
13.
Shen, Miaoda, Zhuoyang Li, Duo Lv, et al.. (2020). Seasonal variation and correlation analysis of vitamin D and parathyroid hormone in Hangzhou, Southeast China. Journal of Cellular and Molecular Medicine. 24(13). 7370–7377. 22 indexed citations
14.
Wang, Zhen, Chenghui Yang, Lili Li, et al.. (2020). Tumor-derived HMGB1 induces CD62Ldim neutrophil polarization and promotes lung metastasis in triple-negative breast cancer. Oncogenesis. 9(9). 82–82. 58 indexed citations
15.
Huang, Qi, Zhigang Chen, Pu Cheng, et al.. (2019). LYRM2 directly regulates complex I activity to support tumor growth in colorectal cancer by oxidative phosphorylation. Cancer Letters. 455. 36–47. 33 indexed citations
16.
Pan, Jun, Chenghui Yang, Jiang Zhou, & Jian Huang. (2019). <p><em>Trametes robiniophila</em> Murr: a traditional Chinese medicine with potent anti-tumor effects</p>. Cancer Management and Research. Volume 11. 1541–1549. 40 indexed citations
17.
Fang, Jie, Chong Zhang, Jun Pan, et al.. (2017). TcpC secreting uropathogenic E. coli promoted kidney cells to secrete MIP-2 via p38 MAPK pathway. Molecular Medicine Reports. 16(3). 3528–3534. 6 indexed citations
18.
Ding, Yuan, Sheng Yan, Yang Tian, et al.. (2015). Primary abdominal lymphangioleiomyomatosis: report of a case. World Journal of Surgical Oncology. 13(1). 93–93. 2 indexed citations
19.
Gao, Chunli, Jun Pan, Weiyue Lu, et al.. (2009). In-vitro evaluation of paclitaxel-loaded MPEG–PLGA nanoparticles on laryngeal cancer cells. Anti-Cancer Drugs. 20(9). 807–814. 16 indexed citations
20.
Lu, Weiyue, et al.. (2004). In vitro and in vivo studies on mucoadhesive microspheres of amoxicillin. Journal of Controlled Release. 102(1). 135–144. 90 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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